No bid
$248Knot to exceed

Buys and installs new turf at Hoover Elementary for up to $248,062 through Valley Precision Grading

The district is approving a contract with Valley Precision Grading, Inc. to remove the old turf at Hoover Elementary School and install a new turf and shock-pad system. The cost is capped at $248,062.00, and work must finish within 200 calendar days of the district's notice to proceed. The district is buying through the California Multiple Award Schedules (CMAS), a state contract list, instead of running its own bid.

Plain-English summary written by AI from the official text. AI summary · amounts checked against official text

Action
Cooperative purchase
Category
School buildings & construction
This vote
$248,062
Schools
Hoover Elementary School
Funding
Fund 1 General Funds ELOP
Resource / site
2600 170
Vendor no.
009906
Presented by
Deputy Chief, Facilities Planning and Management
File
26-1036 · agenda R.-1
Outcome
Adopted, Jun 29, 2026

Official text

Approval by the Board of Education of a CMAS Purchase and Installation Agreement by and between the District and Valley Precision Grading, Inc., for the latter to remove existing turf, supply and install the new PIVOT Performance Turf and maxFLO (shock pad) turf system with integrated stripping for the Hoover Elementary School Turf Replacement Project, in the not-to-exceed amount of $248,062.00, with work scheduled to commence upon District’s Notice to Proceed and shall terminate upon completion of the Work for the Project, within two hundred calendars days from the date of the Notice to Proceed.

History

  1. Postponed to a Date Certain
  2. Failed
  3. Not Discussed and/or Taken Up
  4. Adopted

Also on the agenda: Jun 15, 2026, Jun 24, 2026

This is an independent project created to provide transparency to the OUSD Community, and is not affiliated with Oakland Unified District. All data used to create the Consent Report Tracker is made public by Legistar, OUSD's official platform for posting legislative records. Plain-English summaries are written by AI with narrow parameters based upon the official text of the reports. Read about how all this works.

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